Using Generative Adversarial Networks and Parameter Optimization of Convolutional Neural Networks for Lung Tumor Classification

Using Generative Adversarial Networks and Parameter Optimization of Convolutional Neural Networks for Lung Tumor Classification

Cancer is the leading cause of death worldwide. Lung cancer, especially, caused the most death in 2018 according to the World Health Organization. Early diagnosis and treatment can considerably reduce mortality. To provide an efficient diagnosis, deep learning is overtaking conventional machine lear...

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Bibliographic Details
Main Authors: Chun-Hui Lin, Cheng-Jian Lin, Yu-Chi Li, Shyh-Hau Wang
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
lung cancer
convolutional neural network
generative adversarial network
image augmentation
parameter optimization
Online Access:https://www.mdpi.com/2076-3417/11/2/480

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https://www.mdpi.com/2076-3417/11/2/480

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